Aaron Beveridge’s work combines writing studies and data science methodologies to research cultural trends and the circulation of digital artifacts. With a focus on text mining and exploratory data analysis, Beveridge contributes to the ongoing expansion of data-driven methods in the digital humanities. Beveridge’s work with the MassMine software has been funded by the National Endowment for the Humanities (NEH), and his work has appeared in Digital Humanities Quarterly, Kairos, The Journal of Open Source Software, and IEEE Transactions on Professional Communication. Beveridge is currently editing a special issue of Computers and Composition titled, “Composing Algorithms: Writing (with) Rhetorical Machines,” forthcoming in 2020.
SCS19: SCHOLARLY IMPACT AND INFRASTRUCTURE
MassMine: Developing a Cultural Macroscope
In his talk, Aaron Beveridge provides a brief history of MassMine’s development (an NEH funded research software), and discusses the importance of open source software development for cultural research and scholarship.